학술논문

Good Intentions, Bad Inventions: How Employees Judge Pervasive Technologies in the Workplace
Document Type
Periodical
Source
IEEE Pervasive Computing IEEE Pervasive Comput. Pervasive Computing, IEEE. 22(1):69-76 Jan, 2023
Subject
Computing and Processing
Artificial intelligence
Ethics
Productivity
Employment
Task analysis
Psychology
Surveillance
Language
ISSN
1536-1268
1558-2590
Abstract
Pervasive technologies combined with powerful AI have been recently introduced to enhance work productivity. Yet, some of these technologies are judged to be invasive. To identify which ones, we should understand how employees tend to judge these technologies. We considered 16 technologies that track productivity, and conducted a study in which 131 crowdworkers judged these scenarios. We found that a technology was judged to be right depending on the following three aspects of increasing importance. That is, whether the technology: 1) was currently supported by existing tools; 2) did not interfere with work or was fit for purpose; and 3) did not cause any harm or did not infringe on any individual rights. Ubicomp research currently focuses on how to design better technologies by making them more accurate, or by increasingly blending them into the background. It might be time to design better ubiquitous technologies by unpacking AI ethics as well.